The first question that came to your mind was why we chose arrays in the Numpy library instead of the Python list. To answer this question I am giving you one analogy: although the list will do the ...

Now imagine a NumPy array is like a row of LEGO bricks that are all the same size and color, lined up perfectly. It’s like saying: “Hey, NumPy, double everything!” And it does it in one quick move — ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array ...

We can cast an ordinary python list as a NumPy one-dimensional array. We can also cast a python list of lists to a NumPy two-dimensional array. Usually we will build arrays by using NumPy's ...

The power of Python trumps Excel workbooks.

Now that we know how to build arrays, let's look at how to pull values our of an array using indexing, and also slicing off sections of an array. Similar to selecting an element from a python list, we ...